Skip to main content

Main menu

  • Home
  • Content
    • Latest
    • Ahead of print
    • Archive
  • Info for
    • Authors
    • Reviewers
    • Subscribers
    • Institutions
    • Advertisers
  • About Us
    • About Us
    • Editorial Office
    • Editorial Board
  • More
    • Alerts
    • Feedback
    • Folders
    • Help
  • Other Publications
    • Saudi Medical Journal

User menu

  • My alerts
  • Log in

Search

  • Advanced search
Neurosciences Journal
  • Other Publications
    • Saudi Medical Journal
  • My alerts
  • Log in
Neurosciences Journal

Advanced Search

  • Home
  • Content
    • Latest
    • Ahead of print
    • Archive
  • Info for
    • Authors
    • Reviewers
    • Subscribers
    • Institutions
    • Advertisers
  • About Us
    • About Us
    • Editorial Office
    • Editorial Board
  • More
    • Alerts
    • Feedback
    • Folders
    • Help
  • Follow psmmc on Twitter
  • Visit psmmc on Facebook
  • RSS
Research ArticleOriginal Article
Open Access

Farming, well water consumption, rural living, and pesticide exposure in early life as the risk factors for Parkinson disease in Iğdır province

Aydın Cagac
Neurosciences Journal April 2020, 25 (2) 129-135; DOI: https://doi.org/10.17712/nsj.2020.2.20190104
Aydın Cagac
From the Medical Biochemistry, Department of Neurology, Faculty of Medicine, Van Yuzuncu Yıl University, Van, Turkey.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • References
  • PDF
Loading

Article Figures & Data

Tables

    • View popup
    Table 1

    Demographics of the study groups.

    Gender CharacteristicsMaleFemaleTotal
    n (%)
    *Network water
    Min. -Max.53-85
    Age (year) Mean±SD69.60±9.583
    n(%)16 (69.6)7 (30.4)23 (100)
    Total Percentage (%)(22.2)(1.4)(31.9)
    Well water
    Min. -Max.23-83
    Age (year) Mean±SD67.62±12.422
    n (%)30 (61.2)19 (38.8)49 (100)
    Total Percentage (%)(41.7)(26.4)(68.1)
    Total n(%)46 (63.9)26 (36.1)72 (100)
    Min. -Max.23-85
    • ↵* P-values=0.454

    • Min–minimum

    • Max–maximum

    • View popup
    Table 2

    Comparison of heavy metal levels in well water and city network water (µg/L).

    nMeanStd. Dev.95% Confidence Interval for MeanMinimumMax.P-values
    Lower BoundUpper Bound
    LiNetwork water313.8633.6712212.195915.530713.1714.51.033
    Well water316.53671.2796213.357919.715415.0617.32
    Total615.20001.7260413.388617.011413.1717.32
    BeNetwork water3.6817.197410.19131.1721.50.89.001
    Well water3−.3177.05604−0.4546−0.1785−.35−.25
    Total6.1820.56253−0.40830.7723−.35.89
    MgNetwork water338356.6667812.97806363.37.111240376.216137430.0038950.00.004
    Well water346000.00002138.2469540688.300151311.699943550.0047490.00
    Total642178.33334429.3765637529.987746826.679037430.0047490.00
    PNetwork water3−14.41332.00056−19.3830−9.4437−16.71−13.05.076
    Well water3−9.27103.17157−17.1496−1.3924−12.91−7.10
    Total6−11.84223.68205−15.7062−7.9781−16.71−7.10
    CrNetwork water36.7373.112616.45767.01716.626.85.001
    Well water34.9013.225424.34145.46134.705.15
    Total65.81931.018174.75086.88784.706.85
    MnNetwork water3.9437.549791.22463.95612.263.23.027
    Well water32.5903.62906−0.61902.5063.511.67
    Total61.76701.045300.67002.8640.513.23
    FeNetwork water319.11002.3067113.379824.840216.9821.56.397
    Well water322.37675.503908.704236.049116.3127.05
    Total620.74334.1769416.359925.126816.3127.05
    CoNetwork water3.6363.184130.17891.0937.49.84.010
    Well water3.1050.07721−0.08680.2968.02.15
    Total6.3707.317240.03770.7036.02.84
    NiNetwork water31.94001.35064−1.41525.29521.033.49.908
    Well water32.0537.86208−0.08794.19521.353.02
    Total61.99681.015300.93133.06231.033.49
    AsNetwork Water312.27332.623485.756318.790410.6515.30.257
    Well water310.01531.365876.622313.40849.1511.59
    Total611.14432.242518.791013.49779.1515.30
    SeNetwork water33.85736.96009−13.432521.1472−.7911.86.280
    Well water3−1.47502.51352−7.71894.7689−2.971.43
    Total61.19125.51674−4.59836.9806−2.9711.86
    SrNetwork water3706.866716.70968665.3575748.3758688.00719.80.006
    Well water3838.166739.04617741.1706935.1627793.80867.30
    Total6772.516776.76870691.9529853.0805688.00867.30
    MoNetwork water3−9.7567.68743−11.4643−8.0490−10.53−9.22.004
    Well water3−12.2133.17616−12.6509−11.7757−12.40−12.05
    Total6−10.98501.41845−12.4736−9.4964−12.40−9.22
    CdNetwork water3−2.2207.82416−4.2680−0.1733−2.90−1.31.006
    Well water3−5.2780.58929−6.7419−3.8141−5.89−4.72
    Total6−3.74931.79298−5.6310−1.8677−5.89−1.31
    SnNetwork water31.1050.264910.44691.7631.851.38.001
    Well water3−.4310.13583−0.7684−0.0936−.56−.29
    Total6.3370.86211−0.56771.2417−.561.38
    • Sn–stannic

    • Cd–cadmium

    • Mo–molybdenum

    • Sr–strontium

    • Se–selenium

    • As–arsenic

    • Ni- nickel

    • Co–cobalt

    • Fe–iron

    • Mn–manganese

    • Cr–chromium

    • Li–lithium

    • Be–berilium

    • Mg–magnesium

    • P - phosphorus

    • View popup
    Table 3

    Comparison of nitrate and sulfate levels between groups (µg/L).

    GroupsNMeanStd. Dev.95% Confidence Interval for MeanMin.Max.P-values
    Lower BoundUpper Bound
    F
    Well water2.16465.0065760.105570.22373.160.169.070
    Network water2.14360.0050910.097860.18934.140.147
    Total4.15413.0130670.133330.17492.140.169
    Cl
    Well water246.17500.24748743.9514148.3985946.00046.350.028
    Network water247.19185.00261647.1683447.2153647.19047.194
    Total446.68343.60421945.7219847.6448746.00047.194
    Nitrate
    Well water27.03330.0046676.991377.075237.0307.037.001
    Network water26.60365.0051626.557276.650036.6006.607
    Total46.81848.2480916.423717.213246.6007.037
    Sulfate
    Well water284.48475.00671884.4244084.5451084.48084.490.001
    Network water282.55360.00509182.5078682.5993482.55082.557
    Total483.519171.11496181.7450285.2933382.55084.490
    Phosphate
    Well water2.00415.0002120.002240.00606.004.004.028
    Network water2.00310.0001410.001830.00437.003.003
    Total40.003630.0006240.002630.004620.0030.004
PreviousNext
Back to top

In this issue

Neurosciences Journal: 25 (2)
Neurosciences Journal
Vol. 25, Issue 2
1 Apr 2020
  • Table of Contents
  • Cover (PDF)
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Neurosciences Journal.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Farming, well water consumption, rural living, and pesticide exposure in early life as the risk factors for Parkinson disease in Iğdır province
(Your Name) has sent you a message from Neurosciences Journal
(Your Name) thought you would like to see the Neurosciences Journal web site.
Citation Tools
Farming, well water consumption, rural living, and pesticide exposure in early life as the risk factors for Parkinson disease in Iğdır province
Aydın Cagac
Neurosciences Journal Apr 2020, 25 (2) 129-135; DOI: 10.17712/nsj.2020.2.20190104

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Farming, well water consumption, rural living, and pesticide exposure in early life as the risk factors for Parkinson disease in Iğdır province
Aydın Cagac
Neurosciences Journal Apr 2020, 25 (2) 129-135; DOI: 10.17712/nsj.2020.2.20190104
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Appendix
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Ranking the difficulty of the cognitive tasks in Dual-Tasks during walking in healthy adults
  • Exploring physiotherapist’s ability to identify cauda equina syndrome early
  • Does the severity of facet joint osteoarthritis affect facet medial branch radiofrequency thermocoagulation results?
Show more Original Article

Similar Articles

Navigate

  • home

More Information

  • Help

Additional journals

  • All Topics

Other Services

  • About

© 2025 Neurosciences Journal Neurosciences is copyright under the Berne Convention and the International Copyright Convention. All rights reserved. Neurosciences is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work. Electronic ISSN 1658-3183. Print ISSN 1319-6138.

Powered by HighWire